[GitHub] [carbondata] jackylk commented on a change in pull request #3389: [CARBONDATA-3524] Support global_sort compaction

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jackylk commented on a change in pull request #3389: [CARBONDATA-3524] Support global_sort compaction
URL: https://github.com/apache/carbondata/pull/3389#discussion_r329313394
 
 

 ##########
 File path: integration/spark-common/src/main/scala/org/apache/carbondata/spark/SegmentUtils.scala
 ##########
 @@ -0,0 +1,101 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.carbondata.spark
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.mapred.JobConf
+import org.apache.hadoop.mapreduce.{InputSplit, Job}
+import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.expressions.GenericRow
+import org.apache.spark.sql.util.{SparkSQLUtil, SparkTypeConverter}
+import org.apache.spark.CarbonInputMetrics
+import org.apache.spark.sql.{DataFrame, Row, SparkSession}
+
+import org.apache.carbondata.core.datamap.Segment
+import org.apache.carbondata.core.datastore.row.CarbonRow
+import org.apache.carbondata.core.metadata.datatype.{StructField, StructType}
+import org.apache.carbondata.core.metadata.schema.table.CarbonTable
+import org.apache.carbondata.hadoop.CarbonProjection
+import org.apache.carbondata.hadoop.api.{CarbonInputFormat, CarbonTableInputFormat,
+  CarbonTableOutputFormat}
+import org.apache.carbondata.processing.loading.constants.DataLoadProcessorConstants
+import org.apache.carbondata.processing.loading.model.CarbonLoadModel
+import org.apache.carbondata.processing.util.TableOptionConstant
+import org.apache.carbondata.spark.rdd.CarbonScanRDD
+import org.apache.carbondata.store.CarbonRowReadSupport
+
+/**
+ * utils of segment
+ */
+object SegmentUtils {
+
+  /**
+   * get splits of specified segments
+   */
+  def splitsOfSegments(
+      sparkSession: SparkSession,
+      carbonTable: CarbonTable,
+      segments: Array[Segment]
+  ): java.util.List[InputSplit] = {
+    val jobConf = new JobConf(SparkSQLUtil.sessionState(sparkSession).newHadoopConf())
+    SparkHadoopUtil.get.addCredentials(jobConf)
+    val job = Job.getInstance(jobConf)
+    val conf = job.getConfiguration
+    CarbonInputFormat.setTablePath(conf, carbonTable.getTablePath)
+    CarbonInputFormat.setTableInfo(conf, carbonTable.getTableInfo)
+    CarbonInputFormat.setDatabaseName(conf, carbonTable.getDatabaseName)
+    CarbonInputFormat.setTableName(conf, carbonTable.getTableName)
+    CarbonInputFormat.setQuerySegment(conf, segments.map(_.getSegmentNo).mkString(","))
+    new CarbonTableInputFormat[Object].getSplits(job)
+  }
+
+  /**
+   * create DataFrame basing on specified segments
+   */
+  def dataFrameOfSegments(
+      sparkSession: SparkSession,
+      carbonTable: CarbonTable,
+      segments: Array[Segment]
+  ): DataFrame = {
+    val columns = carbonTable
+      .getCreateOrderColumn(carbonTable.getTableName)
+      .asScala
+      .map(_.getColName)
+      .toArray
+    val schema = SparkTypeConverter.createSparkSchema(carbonTable, columns)
+    val rdd: RDD[Row] = new CarbonScanRDD[CarbonRow](
+      sparkSession,
+      columnProjection = new CarbonProjection(columns),
+      null,
+      carbonTable.getAbsoluteTableIdentifier,
+      carbonTable.getTableInfo.serialize,
+      carbonTable.getTableInfo,
+      new CarbonInputMetrics,
+      null,
+      null,
+      classOf[CarbonRowReadSupport],
+      splitsOfSegments(sparkSession, carbonTable, segments)
+    )
+      .map { row =>
 
 Review comment:
   fix code style

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